Research Engineering Lead

Lovable is hiring a Research Engineering Lead for a remote role open to applicants in Sweden. Level rates it ; you can apply on Lovable.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting lists this role as remote.
Tools and skills the posting cites include LLMs, Transformers and machine learning.
Level classifies it as a lead role.
Level lists 80 other open roles at Lovable.

AI in this role

Lead research and engineering efforts to optimize frontier LLMs and code generation capabilities for software creation.

llmstransformers

machine-learningfine-tuningmodel-alignmentcode-generationpython

TL;DR - We’re looking for a hands-on research and engineering leader to get the best performance out of commercial and open source frontier models, in order to power the future of AI software engineering. You’ll own experiments end-to-end—from dataset design to model alignment and performance optimization. Must be curious, experimental, and obsessed with squeezing the most out of models.ae

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we’re looking for

Led or contributed to cutting-edge LLM research at top AI labs
Fine-tuned large-scale transformer models on datasets including code, natural language, and multimodal inputs`
Developed state-of-the-art models for code generation
Designed high-quality experiments and have strong sense for effective evaluation
A natural leader obsessed with building the best technical team in the world
Mentored team of researchers / engineers, and led collaborative projects across research, engineering, and product teams
Bonus: Published at top ML/AI conferences on LLMs, code intelligence, or agentic reasoning

What you’ll do

In one sentence: Build the most powerful ensemble of LLMs into lovable products.

Design and execute experiments grounded in real coding and product use cases
Define, track and optimize product-centric LLM performance metrics
Partner with engineering leads to hire and hone a world-class team
Own training pipelines, distillation workflows, and synthetic data generation systems
Work closely with infra and product engineers to scale and ship model improvements

Our tech stack

We're building with tools that both humans and AI love:

Frontend: React for lightning-fast interfaces
Backend: Golang and Rust for serious performance
Cloud: Cloudflare, Google Cloud Run, AWS, Terraform
DevOps & Tooling: CI/CD pipelines, observability, infra-as-code

And always on the lookout for what's next!

How we hire

Fill in a short form then jump on an intro call with the team.
Complete the take-home exercise
Show us how you approach problems during two technical interviews
Join us for trial work lasting 2 days preferably on-site. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.

About your application

Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join
We treat all candidates equally - if you’re interested please apply through our careers portal

How we rate this

Research Engineering Lead at Lovable rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Research Engineering Lead is an open job at Lovable.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Stockholm and is marked remote.
The job was posted on June 22, 2026.
Seniority: lead.
Applications are handled by Lovable. Apply on Lovable

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningFine-tuningModel AlignmentCode GenerationPythonLLMsTransformers

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Tell me about a project where model alignment was part of your work. What did you do?
Tell me about a project where code generation was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Fine-tuning, Model Alignment, Code Generation, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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